Artificial Neural Network Accurately Predicts Hepatitis B Surface Antigen Seroclearance

BACKGROUND & AIMS: Hepatitis B surface antigen (HBsAg) seroclearance and seroconversion are regarded as favorable outcomes of chronic hepatitis B (CHB). This study aimed to develop artificial neural networks (ANNs) that could accurately predict HBsAg seroclearance or seroconversion on the basis...

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Detalles Bibliográficos
Autores principales: Zheng, Ming-Hua, Seto, Wai-Kay, Shi, Ke-Qing, Wong, Danny Ka-Ho, Fung, James, Hung, Ivan Fan-Ngai, Fong, Daniel Yee-Tak, Yuen, John Chi-Hang, Tong, Teresa, Lai, Ching-Lung, Yuen, Man-Fung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4051672/
https://www.ncbi.nlm.nih.gov/pubmed/24914537
http://dx.doi.org/10.1371/journal.pone.0099422

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4051672/
https://www.ncbi.nlm.nih.gov/pubmed/24914537
http://dx.doi.org/10.1371/journal.pone.0099422

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